| 2025 | AAAI | Efficient Deformable Convolutional Prompt for Continual Test-Time Adaptation in Medical Image Segmentation. | Shiyu Liu, Daoqiang Zhang, Xiaoke Hao |
| 2025 | CIKM | BrainX: A Universal Brain Decoding Framework with Feature Disentanglement and Neuro-Geometric Representation Learning. | Zheng Cui, Dong Nie, Pengcheng Xue, Xia Wu, Daoqiang Zhang, Xuyun Wen |
| 2025 | CVPR | Multi-modal Topology-embedded Graph Learning for Spatially Resolved Genes Prediction from Pathology Images with Prior Gene Similarity Information. | Hang Shi, Changxi Chi, Peng Wan, Daoqiang Zhang, Wei Shao |
| 2025 | CVPR | Vision-Language Model IP Protection via Prompt-based Learning. | Lianyu Wang, Meng Wang, Huazhu Fu, Daoqiang Zhang |
| 2025 | CVPR | Robust Multimodal Survival Prediction with Conditional Latent Differentiation Variational AutoEncoder. | Junjie Zhou, Jiao Tang, Yingli Zuo, Peng Wan, Daoqiang Zhang, Wei Shao |
| 2025 | CVPR | DAMM-Diffusion: Learning Divergence-Aware Multi-Modal Diffusion Model for Nanoparticles Distribution Prediction. | Junjie Zhou, Shouju Wang, Yuxia Tang, Qi Zhu, Daoqiang Zhang, Wei Shao |
| 2025 | DASFAA | Personalized Federated Multi-Center Medical Data Analysis with Local and Global Uncertainty. | Shengrong Li, Mingming Wang, Shuai Xu, Daoqiang Zhang, Qi Zhu |
| 2025 | ICASSP | Reference-Guided Parallel Independent Component Analysis: Estimating Cognition Associated Multimodal Patterns In Schizophrenia. | Jingxian Hu, Chuang Liang, Tlay Adali, Qi Zhu, Daoqiang Zhang, Rongtao Jiang, Vince D. Calhoun, Shile Qi |
| 2025 | ICASSP | Adaptive-Similarity-Based Brain Dynamic Functional Connectivity with Spatial-Temporal Attention and Domain Adaptation for Schizophrenia Diagnosis. | Yixin Ji, Vince D. Calhoun, Rongtao Jiang, Daoqiang Zhang, Shile Qi |
| 2025 | ICASSP | Gaze-Assisted Human-Centric Domain Adaptation for Cardiac Ultrasound Image Segmentation. | Ruiyi Li, Yuting He, Rongjun Ge, Chong Wang, Daoqiang Zhang, Yang Chen, Shuo Li |
| 2025 | ICASSP | Cooperative and Competitive Functional Connectivity Based on Improved Ising Model. | Gengqian Wei, Chuang Liang, Tlay Adali, Rongtao Jiang, Daoqiang Zhang, Vince D. Calhoun, Shile Qi |
| 2025 | ICCV | COME: Dual Structure-Semantic Learning with Collaborative MOE for Universal Lesion Detection Across Heterogeneous Ultrasound Datasets. | Lingyu Chen, Yawen Zeng, Yue Wang, Peng Wan, Guochen Ning, Hongen Liao, Daoqiang Zhang, Fang Chen |
| 2025 | ICCV | AcZeroTS: Active Learning for Zero-Shot Tissue Segmentation in Pathology Images. | Jiao Tang, Junjie Zhou, Bo Qian, Peng Wan, Yingli Zuo, Wei Shao, Daoqiang Zhang |
| 2025 | KDD | Temporal Restoration and Spatial Rewiring for Source-Free Multivariate Time Series Domain Adaptation. | Peiliang Gong, Yucheng Wang, Min Wu, Zhenghua Chen, Xiaoli Li, Daoqiang Zhang |
| 2025 | KDD | Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time Adaptation. | Peiliang Gong, Mohamed Ragab, Min Wu, Zhenghua Chen, Yongyi Su, Xiaoli Li, Daoqiang Zhang |
| 2025 | MICCAI | LTSE: Language-Guided Tissue Referring Segmentation in Pathology Images with Adaptive Expert Mixture. | Jiao Tang, Bo Qian, Peng Wan, Wei Shao, Daoqiang Zhang |
| 2025 | MICCAI | Cost-Effective Active Learning for Nucleus Detection Using Crowdsourced Annotations with Dynamic Weighting Adjustment. | Jiao Tang, Yuankun Zu, Qi Zhu, Peng Wan, Daoqiang Zhang, Wei Shao |
| 2025 | MICCAI | Multi-expert Collaboration and Knowledge Enhancement Network for Multimodal Emotion Recognition. | Kun Wang, Junyong Zhao, Liying Zhang, Qi Zhu, Daoqiang Zhang |
| 2025 | MICCAI | Multi-view Graph Contrastive Learning with Dynamic Self-aware and Cross-Sample Topology Augmentation for Brain Disorder Diagnosis. | Hao Zhang, Xiaoyun Liu, Shuo Huang, Yonggui Yuan, Daoqiang Zhang, Li Zhang |
| 2024 | CVPR | Tumor Micro-Environment Interactions Guided Graph Learning for Survival Analysis of Human Cancers from Whole-Slide Pathological Images. | Wei Shao, Yangyang Shi, Daoqiang Zhang, Junjie Zhou, Peng Wan |
| 2024 | ICONIP | A Dual-Branch Riemannian Learning Network for EEG Speech Imagery Decoding. | Liying Zhang, Peiliang Gong, Qianru Sun, Yueying Zhou, Qi Zhu, Daoqiang Zhang |
| 2024 | MICCAI | Hybrid-Structure-Oriented Transformer for Arm Musculoskeletal Ultrasound Segmentation. | Lingyu Chen, Yue Wang, Zhe Zhao, Hongen Liao, Daoqiang Zhang, Haojie Han, Fang Chen |
| 2024 | MICCAI | Follow Sonographers' Visual Scan-Path: Adjusting CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound. | Xin Tang, Zhi Cao, Weijing Zhang, Di Zhao, Hongen Liao, Daoqiang Zhang, Fang Chen |
| 2024 | MICCAI | OSAL-ND: Open-Set Active Learning for Nucleus Detection. | Jiao Tang, Yagao Yue, Peng Wan, Mingliang Wang, Daoqiang Zhang, Wei Shao |
| 2024 | MICCAI | Correlation-Adaptive Multi-view CEUS Fusion for Liver Cancer Diagnosis. | Peng Wan, Shukang Zhang, Wei Shao, Junyong Zhao, Yinkai Yang, Wentao Kong, Haiyan Xue, Daoqiang Zhang |
| 2024 | MICCAI | WSSADN: A Weakly Supervised Spherical Age-Disentanglement Network for Detecting Developmental Disorders with Structural MRI. | Pengcheng Xue, Dong Nie, Meijiao Zhu, Ming Yang, Han Zhang, Daoqiang Zhang, Xuyun Wen |
| 2024 | MICCAI | TARDRL: Task-Aware Reconstruction for Dynamic Representation Learning of fMRI. | Yunxi Zhao, Dong Nie, Geng Chen, Xia Wu, Daoqiang Zhang, Xuyun Wen |
| 2023 | ADMA | Anatomical-Functional Fusion Network for Lesion Segmentation Using Dual-View CEUS. | Peng Wan, Chunrui Liu, Daoqiang Zhang |
| 2023 | CVPR | Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection. | Lianyu Wang, Meng Wang, Daoqiang Zhang, Huazhu Fu |
| 2023 | MICCAI | Thinking Like Sonographers: A Deep CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound. | Zhi Cao, Weijing Zhang, Keke Chen, Di Zhao, Daoqiang Zhang, Hongen Liao, Fang Chen |
| 2023 | MICCAI | JCCS-PFGM: A Novel Circle-Supervision Based Poisson Flow Generative Model for Multiphase CECT Progressive Low-Dose Reconstruction with Joint Condition. | Rongjun Ge, Yuting He, Cong Xia, Daoqiang Zhang |
| 2023 | MICCAI | Thyroid Nodule Diagnosis in Dynamic Contrast-Enhanced Ultrasound via Microvessel Infiltration Awareness. | Haojie Han, Hongen Liao, Daoqiang Zhang, Wentao Kong, Fang Chen |
| 2023 | MICCAI | Multi-Target Domain Adaptation with Prompt Learning for Medical Image Segmentation. | Yili Lin, Dong Nie, Yuting Liu, Ming Yang, Daoqiang Zhang, Xuyun Wen |
| 2023 | MICCAI | Positive Definite Wasserstein Graph Kernel for Brain Disease Diagnosis. | Kai Ma, Xuyun Wen, Qi Zhu, Daoqiang Zhang |
| 2023 | MICCAI | Eye-Guided Dual-Path Network for Multi-organ Segmentation of Abdomen. | Chong Wang, Daoqiang Zhang, Rongjun Ge |
| 2023 | MICCAI | Transfer Learning-Assisted Survival Analysis of Breast Cancer Relying on the Spatial Interaction Between Tumor-Infiltrating Lymphocytes and Tumors. | Yawen Wu, Yingli Zuo, Qi Zhu, Jianpeng Sheng, Daoqiang Zhang, Wei Shao |
| 2023 | MICCAI | Prior-Driven Dynamic Brain Networks for Multi-modal Emotion Recognition. | Chuhang Zheng, Wei Shao, Daoqiang Zhang, Qi Zhu |
| 2022 | APWEB | Dictionary-Induced Manifold Learning for Incomplete Multi-modal Fusion. | Bingliang Xu, Haizhou Ye, Zheng Zhang, Daoqiang Zhang, Qi Zhu |
| 2022 | CBMS | TcT: Temporal and channel Transformer for EEG-based Emotion Recognition. | Yanling Liu, Yueying Zhou, Daoqiang Zhang |
| 2022 | ICONIP | Deep Domain Adaptation for EEG-Based Cross-Subject Cognitive Workload Recognition. | Yueying Zhou, Pengpai Wang, Peiliang Gong, Yanling Liu, Xuyun Wen, Xia Wu, Daoqiang Zhang |
| 2022 | MICCAI | DDPNet: A Novel Dual-Domain Parallel Network for Low-Dose CT Reconstruction. | Rongjun Ge, Yuting He, Cong Xia, Hailong Sun, Yikun Zhang, Dianlin Hu, Sijie Chen, Yang Chen, Shuo Li, Daoqiang Zhang |
| 2022 | MICCAI | Optimal Transport Based Ordinal Pattern Tree Kernel for Brain Disease Diagnosis. | Kai Ma, Xuyun Wen, Qi Zhu, Daoqiang Zhang |
| 2022 | MICCAI | Uncertainty-aware Cascade Network for Ultrasound Image Segmentation with Ambiguous Boundary. | Yanting Xie, Hongen Liao, Daoqiang Zhang, Fang Chen |
| 2022 | MICCAI | Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors. | Yingli Zuo, Yawen Wu, Zixiao Lu, Qi Zhu, Kun Huang, Daoqiang Zhang, Wei Shao |
| 2021 | ICIP | Fs-Net: Filter Selection Network For Hyperspectral Reconstruction. | Liutao Yang, Zhongnian Li, Zongxiang Pei, Daoqiang Zhang |
| 2021 | ICIP | Graph-In-Graph Convolutional Networks For Brain Disease Diagnosis. | Haiyu Zhou, Daoqiang Zhang |
| 2021 | MICCAI | Identifying Quantitative and Explanatory Tumor Indexes from Dynamic Contrast Enhanced Ultrasound. | Peng Wan, Chunrui Liu, Fang Chen, Jing Qin, Daoqiang Zhang |
| 2021 | SDM | Sign-aware Perturbations Regression. | Zhongnian Li, Tao Zhang, Wei Shao, Songcan Chen, Daoqiang Zhang |
| 2020 | AAAI | Graph-Based Decoding Model for Functional Alignment of Unaligned fMRI Data. | Weida Li, Mingxia Liu, Fang Chen, Daoqiang Zhang |
| 2020 | ICONIP | Perceived Image Reconstruction from Human Brain Activity via Time-Series Information Guided Generative Adversarial Networks. | Shuo Huang, Liang Sun, Muhammad Yousefnezhad, Meiling Wang, Daoqiang Zhang |
| 2020 | ICPR | Exploiting Saliency in Attention Based Convolutional Neural Network for Classification of Vertical Root Fractures. | Zhenxing Xu, Peng Wan, Gulibire Aihemaiti, Daoqiang Zhang |
| 2020 | MICCAI | Constructing High-Order Dynamic Functional Connectivity Networks from Resting-State fMRI for Brain Dementia Identification. | Chunxiang Feng, Biao Jie, Xintao Ding, Daoqiang Zhang, Mingxia Liu |
| 2020 | MICCAI | Unified Brain Network with Functional and Structural Data. | Jing Yang, Qi Zhu, Rui Zhang, Jiashuang Huang, Daoqiang Zhang |
| 2020 | MICCAI | Transport-Based Joint Distribution Alignment for Multi-site Autism Spectrum Disorder Diagnosis Using Resting-State fMRI. | Junyi Zhang, Peng Wan, Daoqiang Zhang |
| 2019 | AAAI | SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction. | Zhongnian Li, Tao Zhang, Peng Wan, Daoqiang Zhang |
| 2019 | AAAI | Functional Connectivity Network Analysis with Discriminative Hub Detection for Brain Disease Identification. | Mingliang Wang, Jiashuang Huang, Mingxia Liu, Daoqiang Zhang |
| 2019 | IJCAI | Adaptive Joint Attention with Reinforcement Training for Convolutional Image Caption. | Ruoyu Chen, Zhongnian Li, Daoqiang Zhang |
| 2019 | MICCAI | Diagnosis-Guided Multi-modal Feature Selection for Prognosis Prediction of Lung Squamous Cell Carcinoma. | Wei Shao, Tongxin Wang, Zhi Huang, Jun Cheng, Zhi Han, Daoqiang Zhang, Kun Huang |
| 2019 | MICCAI | Integrating Functional and Structural Connectivities via Diffusion-Convolution-Bilinear Neural Network. | Jiashuang Huang, Luping Zhou, Lei Wang, Daoqiang Zhang |
| 2019 | MICCAI | Residual Attention Generative Adversarial Networks for Nuclei Detection on Routine Colon Cancer Histology Images. | Junwei Li, Wei Shao, Zhongnian Li, Weida Li, Daoqiang Zhang |
| 2019 | MICCAI | Graph Hyperalignment for Multi-subject fMRI Functional Alignment. | Weida Li, Fang Chen, Daoqiang Zhang |
| 2019 | MICCAI | Adaptive Thresholding of Functional Connectivity Networks for fMRI-Based Brain Disease Analysis. | Zhengdong Wang, Biao Jie, Weixin Bian, Daoqiang Zhang, Dinggang Shen, Mingxia Liu |
| 2019 | UIC | Unsupervised Domain Adaptation for Multi-Center Autism Spectrum Disorder Identification. | You Jiang, Zhongnian Li, Daoqiang Zhang |
| 2019 | UIC | Improved Procedures for Training Primal Wasserstein GANs. | Tao Zhang, Zhongnian Li, Qi Zhu, Daoqiang Zhang |
| 2018 | KDD | Investor-Imitator: A Framework for Trading Knowledge Extraction. | Yi Ding, Weiqing Liu, Jiang Bian, Daoqiang Zhang, Tie-Yan Liu |
| 2018 | MICCAI | Ordinal Multi-modal Feature Selection for Survival Analysis of Early-Stage Renal Cancer. | Wei Shao, Jun Cheng, Liang Sun, Zhi Han, Qianjin Feng, Daoqiang Zhang, Kun Huang |
| 2018 | MICCAI | Topological Correction of Infant Cortical Surfaces Using Anatomically Constrained U-Net. | Liang Sun, Daoqiang Zhang, Li Wang, Wei Shao, Zengsi Chen, Weili Lin, Dinggang Shen, Gang Li |
| 2018 | MICCAI | Low-Rank Representation for Multi-center Autism Spectrum Disorder Identification. | Mingliang Wang, Daoqiang Zhang, Jiashuang Huang, Dinggang Shen, Mingxia Liu |
| 2018 | PRICAI | Node Based Row-Filter Convolutional Neural Network for Brain Network Classification. | Bingcheng Mao, Jiashuang Huang, Daoqiang Zhang |
| 2018 | PRICAI | Gradient Hyperalignment for Multi-subject fMRI Data Alignment. | Tonglin Xu, Muhammad Yousefnezhad, Daoqiang Zhang |
| 2017 | AAAI | Local Discriminant Hyperalignment for Multi-Subject fMRI Data Alignment. | Muhammad Yousefnezhad, Daoqiang Zhang |
| 2017 | MICCAI | Multi-level Multi-task Structured Sparse Learning for Diagnosis of Schizophrenia Disease. | Mingliang Wang, Xiaoke Hao, Jiashuang Huang, Kangcheng Wang, Xijia Xu, Daoqiang Zhang |
| 2017 | SDM | Margin Distribution Logistic Machine. | Yi Ding, Sheng-Jun Huang, Chen Zu, Daoqiang Zhang |
| 2017 | SDM | Multi-Region Neural Representation: A novel model for decoding visual stimuli in human brains. | Muhammad Yousefnezhad, Daoqiang Zhang |
| 2016 | MICCAI | Ordinal Patterns for Connectivity Networks in Brain Disease Diagnosis. | Mingxia Liu, Junqiang Du, Biao Jie, Daoqiang Zhang |
| 2016 | MICCAI | Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph. | Chen Zu, Yue Gao, Brent C. Munsell, Minjeong Kim, Zi-Wen Peng, Yingying Zhu, Wei Gao, Daoqiang Zhang, Dinggang Shen, Guorong Wu |
| 2016 | PSB | Diagnosis-Guided Method for Identifying Multi-Modality Neuroimaging Biomarkers Associated with Genetic Risk Factors in Alzheimer's Disease. | Xiaoke Hao, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Daoqiang Zhang, Li Shen |
| 2015 | ICDM | Weighted Spectral Cluster Ensemble. | Muhammad Yousefnezhad, Daoqiang Zhang |
| 2015 | MICCAI | Multimodal Multi-label Transfer Learning for Early Diagnosis of Alzheimer's Disease. | Bo Cheng, Mingxia Liu, Daoqiang Zhang |
| 2015 | MICCAI | Relationship Induced Multi-atlas Learning for Alzheimer's Disease Diagnosis. | Mingxia Liu, Daoqiang Zhang, Ehsan Adeli-Mosabbeb, Dinggang Shen |
| 2015 | MICCAI | Inherent Structure-Guided Multi-view Learning for Alzheimer's Disease and Mild Cognitive Impairment Classification. | Mingxia Liu, Daoqiang Zhang, Dinggang Shen |
| 2015 | MICCAI | Reliability Guided Forward and Backward Patch-Based Method for Multi-atlas Segmentation. | Liang Sun, Chen Zu, Daoqiang Zhang |
| 2014 | ICDM | Combining Multiple Network Features for Mild Cognitive Impairment Classification. | Lipeng Wang, Fei Fei, Biao Jie, Daoqiang Zhang |
| 2014 | MICCAI | Identifying Genetic Associations with MRI-derived Measures via Tree-Guided Sparse Learning. | Xiaoke Hao, Jintai Yu, Daoqiang Zhang |
| 2014 | MICCAI | Brain Connectivity Hyper-Network for MCI Classification. | Biao Jie, Dinggang Shen, Daoqiang Zhang |
| 2013 | CVPR | Prostate Segmentation in CT Images via Spatial-Constrained Transductive Lasso. | Yinghuan Shi, Shu Liao, Yaozong Gao, Daoqiang Zhang, Yang Gao, Dinggang Shen |
| 2013 | MICCAI | Sparse Multimodal Manifold-Regularized Transfer Learning for MCI Conversion Prediction. | Bo Cheng, Daoqiang Zhang, Biao Jie, Dinggang Shen |
| 2013 | MICCAI | Ensemble Universum SVM Learning for Multimodal Classification of Alzheimer's Disease. | Xiaoke Hao, Daoqiang Zhang |
| 2013 | MICCAI | Manifold Regularized Multi-Task Feature Selection for Multi-Modality Classification in Alzheimer's Disease. | Biao Jie, Daoqiang Zhang, Bo Cheng, Dinggang Shen |
| 2013 | MICCAI | Integrating Multiple Network Properties for MCI Identification. | Biao Jie, Daoqiang Zhang, Heung-Il Suk, Chong-Yaw Wee, Dinggang Shen |
| 2013 | MICCAI | Minimizing Joint Risk of Mislabeling for Iterative Patch-Based Label Fusion. | Guorong Wu, Qian Wang, Shu Liao, Daoqiang Zhang, Feiping Nie, Dinggang Shen |
| 2012 | ICPR | Sparsity Score: A new filter feature selection method based on graph. | Mingxia Liu, Dan Sun, Daoqiang Zhang |
| 2012 | ICPR | Cost-sensitive feature selection with application in software defect prediction. | Linsong Miao, Mingxia Liu, Daoqiang Zhang |
| 2012 | MICCAI | Domain Transfer Learning for MCI Conversion Prediction. | Bo Cheng, Daoqiang Zhang, Dinggang Shen |
| 2012 | MICCAI | Structural Feature Selection for Connectivity Network-Based MCI Diagnosis. | Biao Jie, Daoqiang Zhang, Chong-Yaw Wee, Dinggang Shen |
| 2012 | MICCAI | Group Sparsity Constrained Automatic Brain Label Propagation. | Shu Liao, Daoqiang Zhang, Pew-Thian Yap, Guorong Wu, Dinggang Shen |
| 2012 | MICCAI | Tree-Guided Sparse Coding for Brain Disease Classification. | Manhua Liu, Daoqiang Zhang, Pew-Thian Yap, Dinggang Shen |
| 2012 | MICCAI | Hierarchical Ensemble of Multi-level Classifiers for Diagnosis of Alzheimer's Disease. | Manhua Liu, Daoqiang Zhang, Pew-Thian Yap, Dinggang Shen |
| 2012 | MICCAI | Transductive Prostate Segmentation for CT Image Guided Radiotherapy. | Yinghuan Shi, Shu Liao, Yaozong Gao, Daoqiang Zhang, Yang Gao, Dinggang Shen |
| 2012 | MICCAI | Constrained Sparse Functional Connectivity Networks for MCI Classification. | Chong-Yaw Wee, Pew-Thian Yap, Daoqiang Zhang, Lihong Wang, Dinggang Shen |
| 2012 | MICCAI | Sparse Patch-Based Label Fusion for Multi-Atlas Segmentation. | Daoqiang Zhang, Qimiao Guo, Guorong Wu, Dinggang Shen |
| 2012 | MICCAI | Temporally-Constrained Group Sparse Learning for Longitudinal Data Analysis. | Daoqiang Zhang, Jun Liu, Dinggang Shen |
| 2011 | MICCAI | Predicting Clinical Scores Using Semi-supervised Multimodal Relevance Vector Regression. | Bo Cheng, Daoqiang Zhang, Songcan Chen, Dinggang Shen |
| 2011 | MICCAI | Identification of Individuals with MCI via Multimodality Connectivity Networks. | Chong-Yaw Wee, Pew-Thian Yap, Daoqiang Zhang, Kevin Denny, Lihong Wang, Dinggang Shen |
| 2011 | MICCAI | MultiCost: Multi-stage Cost-sensitive Classification of Alzheimer's Disease. | Daoqiang Zhang, Dinggang Shen |
| 2011 | MICCAI | Multi-Modal Multi-Task Learning for Joint Prediction of Clinical Scores in Alzheimer's Disease. | Daoqiang Zhang, Dinggang Shen |
| 2011 | MICCAI | Confidence-Guided Sequential Label Fusion for Multi-atlas Based Segmentation. | Daoqiang Zhang, Guorong Wu, Hongjun Jia, Dinggang Shen |
| 2010 | SAC | Canonical random correlation analysis. | Jianchun Zhang, Daoqiang Zhang |
| 2009 | IJCAI | An Efficient Nonnegative Matrix Factorization Approach in Flexible Kernel Space. | Daoqiang Zhang, Wanquan Liu |
| 2008 | AAAI | Constraint Projections for Ensemble Learning. | Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou, Qiang Yang |
| 2007 | ISNN | Two-Dimensional Bayesian Subspace Analysis for Face Recognition. | Daoqiang Zhang |
| 2007 | SDM | Semi-Supervised Dimensionality Reduction. | Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen |
| 2006 | ICDM | Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels. | Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen |
| 2006 | PRICAI | Non-negative Matrix Factorization on Kernels. | Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen |
| 2006 | SSPR | Recognizing Face or Object from a Single Image: Linear vs. Kernel Methods on 2D Patterns. | Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou |
| 2005 | ISNN | Representing Image Matrices: Eigenimages Versus Eigenvectors. | Daoqiang Zhang, Songcan Chen, Jun Liu |
| 2004 | ICONIP | Semi-supervised Kernel-Based Fuzzy C-Means. | Daoqiang Zhang, Keren Tan, Songcan Chen |
| 2004 | ICPR | Robust Image Denoising Using Kernel-Induced Measures. | Keren Tan, Songcan Chen, Daoqiang Zhang |
| 2004 | ISNN | Fuzzy-Kernel Learning Vector Quantization. | Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou |